--- title: 'Data Engineer at Kitman Labs' canonical: 'https://feeny.ai/job/data-engineer-kitman-labs-greater-manchester-england-v371wtefz4ty' type: 'job' last_seen: '2026-09-07' --- # Data Engineer at Kitman Labs - **Company:** Kitman Labs - **Location:** Greater Manchester England, United Kingdom - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-06-29 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/kitmanlabs/6c9e95ee-9fb1-4cf5-a84a-83b2ced63951 ## Job description Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance scientists, product specialists and engineers. Kitman Labs' advanced Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women's Soccer League and MLS. Data Engineer We're looking for a Mid-Level Data Engineer to join our team and help build and evolve our data platform. You'll work across analytics engineering, data pipelines, and data quality — collaborating closely with Engineers, Data Scientists, and Product to turn raw data into reliable, scalable foundations. ## What You'll Work On Analytics Engineering & Reporting - Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold) - Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts - Write performant, well-structured SQL for large-scale transformations in BigQuery - Implement data quality checks using Dataform assertions and automated alerting - Support data observability across the warehouse — monitoring pipeline health, data freshness, and anomaly detection Data Pipelines & Ingestion - Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration - Work with orchestration tooling (Cloud Composer / Airflow) to schedule and monitor workflows - Develop familiarity with CDC concepts and event-driven ingestion patterns (Datastream, Pub/Sub) - Containerise workloads with Docker for deployment on Cloud Run or similar GCP services Data Science Collaboration - Support Data Scientists in moving work from notebook to production pipeline - Contribute to feature pipelines and data preparation for ML workloads - Help bridge the gap between research prototypes and scalable, maintainable code ## What We're Looking For - SQL proficiency — comfortable writing complex, performant queries against large datasets in BigQuery - Dataform experience — or strong dbt experience with willingness to work in Dataform; understanding of modular, version-controlled data transformation - Python with an engineering mindset — clean, tested, linted code; comfortable with Git and CI/CD workflows - GCP familiarity — hands-on experience with BigQuery is essential; broader GCP exposure (Cloud Storage, Cloud Run, Pub/Sub, Datastream) is a strong advantage - Orchestration experience — hands-on with Cloud Composer, Airflow, or a comparable tool - Data modelling fundamentals — dimensional modelling, Kimball principles, or medallion architecture patterns - Docker basics — able to containerise and deploy data workloads - Collaborative and communicative — able to translate business requirements into data models and work effectively with Analytics, Product, and Data Science stakeholders - Pragmatic approach to AI tooling — comfortable using AI-assisted development to improve productivity and code quality ## Nice to have - Looker / LookML experience - Familiarity with CDC concepts and tools (Datastream, Debezium) - Exposure to ML frameworks or MLOps tooling (scikit-learn, MLflow, Vertex AI) - AWS experience as a complement (Redshift, Glue, RDS) — we value engineers who can draw on cross-cloud perspective - Curiosity about sports performance data Why this role? You'll work on a modern GCP-native stack — BigQuery, Dataform, Looker, Cloud Composer, Cloud Run — with room to grow into platform ownership, CDC pipelines, and MLOps as your experience develops. We care about clean code, good data, and pragmatic engineering over perfection. ## Benefits At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture. We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this: - Competitive salary - Health insurance for employee & dependants - Meaningful equity - Pension Plan - Life Cover - Income protection - Wellbeing benefits Location While this role allows for remote work, occasional face-to-face-gatherings are recommended. Diversity In addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy ## About Kitman Labs ## Company Overview - **One-liner**: Kitman Labs provides an all-in-one intelligence platform that uses data and analytics to optimize human performance for elite sports organizations and defense agencies. - **Entity Type**: Private (Series Unknown, \$76.5M total funding) - **Headquarters**: Silicon Valley, California, USA (with offices in Dublin, Ireland and Manchester, England) - **Founded**: 2012 - **Founders**: Stephen Smith ## Core Business - **Primary Industry**: Sports Technology / Performance Intelligence / Defense - **Target Customers**: B2B – Professional sports leagues (NFL, NBA, Premier League, MLS), teams, governing bodies, NCAA programs, and defense/military organizations. - **Mission**: “Optimize human achievement” by turning thousands of data points into actionable intelligence that improves performance, health, and longevity. ## Products & Services - **[iP: Intelligence Platform](https://www.kitmanlabs.com/)**: A cloud-based, all-in-one operating system that aggregates data from hundreds of single-point solutions into a unified view. Includes modules for: - **Performance Medicine** – Replaces legacy EMR systems with a modern, data-driven athlete medical record. - **Performance Optimization** – Monitors training load, wellness, and readiness to reduce injury risk and extend careers. - **Coaching & Development** – Provides insights for talent identification, pipeline management, and skill progression. - **League Operations** – Streamlines compliance, reporting, and data management for leagues and governing bodies. - **Professional Services**: Custom consulting and implementation support to design data strategies and build performance blueprints. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Annual Revenue ~\$20M (LinkedIn estimate); Total Funding \$76.5M across 9 rounds - **Notable Clients**: NFL (all 32 clubs), NBA, Premier League, MLS, NCAA (100+ clients via Presagia acquisition), Leinster Rugby - **Growth Signals**: Expanded into U.S. pro leagues (NFL, MLS Next) in 2023; launched defense vertical; acquired The SportsOffice and Presagia to scale capabilities; headcount of 113 (down ~6% YoY) but maintains global footprint across11 countries. ## Competitive Advantages - **Proprietary AI & Data Network**: iP platform leverages the industry’s largest dataset of talent, performance, and medical data from2000+ elite and youth teams, enabling predictive modeling (e.g., Risk Advisor). - **Network Effects**: As more teams join, the dataset grows, improving AI accuracy and benchmarking capabilities. - **Deep Sport & Defense Specialization**: Founders and team include practitioners and data scientists with domain expertise, not generic analytics. - **Integrated, Cloud-Based OS**: Replaces fragmented point solutions (EMR, load management, recruitment tools) with a single platform, reducing silos and manual workflows. ## Strategic Focus - **Defense & Government Expansion**: Applying same performance optimization framework to military service members (pipeline to retirement). - **Deepening League Partnerships**: Moving from single-team to league-wide deployments (NFL, MLS Next) to standardize data practices. - **AI & Automation**: Continuing to build AI-driven features like Risk Advisor to automate injury prediction and performance strategy. - **Talent Pipeline**: Expanding graduate/internship programs to bring more women and diverse talent into sports tech (see Gender Pay Gap Report action plan). ## Why Work Here - **Culture & Values**: “One Team” ethos; strong emphasis on transparency – publicly shares gender pay gap data and action plans. - **Work Environment**: Hybrid/remote-friendly with offices in Silicon Valley, Dublin, and Manchester. Roles listed as full-time with location requirements (e.g., Data Engineer in Dublin or Manchester). - **Benefits & Perks**: Not explicitly detailed, but the company invests in career development, internal mobility, and equitable pay practices (women in comparable roles paid 1.11% more than men on average). - **Engineering Culture**: Builds cutting-edge data pipelines, AI models, and cloud infrastructure for high-stakes performance outcomes. Open roles include Data Engineer, Software Engineer, and Senior Product Manager. - **Caution**: Employee reviews on LinkedIn rate overall satisfaction at 2.7/5 (51 reviews), with lower marks for compensation (2.7) and career growth (2.6), though work-life balance is rated 3.6. ## Sources 1. [Kitman Labs Official Site](https://www.kitmanlabs.com/) 2. [Kitman Labs Careers (Lever)](https://jobs.lever.co/kitmanlabs) 3. [Kitman Labs LinkedIn Company Page](https://linkedin.com/company/kitman-labs) 4. [Kitman Labs Gender Pay Gap Report](https://www.kitmanlabs.com/gender-pay-gap-report/) 5. [Kitman Labs “Why Us” Page](https://www.kitmanlabs.com/why-us/) ## Other roles at Kitman Labs - [Senior Product Manager – Reporting & Visualisation](https://feeny.ai/job/senior-product-manager-reporting-visualisation-kitman-labs-greater-manchester-fjx567myw0j5) — Greater Manchester England, United Kingdom - [Senior Product Manager – Reporting & Visualisation](https://feeny.ai/job/senior-product-manager-reporting-visualisation-kitman-labs-dublin-t7149kwgdyhy) — Dublin, Ireland - [Product Manager](https://feeny.ai/job/product-manager-kitman-labs-dublin-ke95a1sec7hb) — Dublin, Ireland - [Product Manager](https://feeny.ai/job/product-manager-kitman-labs-greater-manchester-england-7spc2vyd4b06) — Greater Manchester England, United Kingdom - [Data Engineer](https://feeny.ai/job/data-engineer-kitman-labs-dublin-9pybpyd6cjyb) — Dublin, Ireland - [Data Engineer](https://feeny.ai/job/data-engineer-future-processing-gliwice-f8cp0tctfjmd) — Gliwice, Poland - [Data Engineer](https://feeny.ai/job/data-engineer-oxylabs-vilnius-zaj01zcyf0kq) — Vilnius, Lithuania - [Data Engineer](https://feeny.ai/job/data-engineer-centerfield-los-angeles-dea9e54mc8jk) — Los Angeles, CA - [Data Engineer](https://feeny.ai/job/data-engineer-wynd-labs-remote-za2c14y2h3e5) - [Data Engineer](https://feeny.ai/job/data-engineer-fanduel-new-york-sgsnta6t8jzb) — New York, NY